83,201 skills sorted by stars.
Automate Mixpanel tasks via Rube MCP (Composio): events, segmentation, funnels, cohorts, user profiles, JQL queries. Alw...
Mixpost is a self-hosted social media management software that helps you schedule and manage your social media content a...
Build responsive email templates using MJML markup language. Compiles to cross-client HTML that works in Outlook, Gmail,...
Comprehensive guide for creating and managing MkDocs documentation projects with Material theme. Includes official CLI c...
Build professional project documentation with MkDocs and Material theme. Covers site configuration, navigation, plugins,...
Generate mkdocs config generator operations. Auto-activating skill for Technical Documentation. Triggers on: mkdocs conf...
MkDocs Material documentation management. This skill should be used when writing, formatting, or validating documentatio...
MkDocs with Material theme expertise for Python-centric documentation. Configure navigation, plugins, multi-language sup...
Defines specific rules related to MkDocs usage, including structure, plugins, themes, and customization configurations.
Generate a language translation for a mkdocs documentation stack.
Digital marketing, paid traffic, growth, Meta Ads, Google Ads, funnels, copy, metrics, social media, email marketing, SE...
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Prevents 30+ critical AI/ML mistakes including data leakage, evaluation errors, training pitfalls, and deployment issues...
Эксперт ML API. Используй для model serving, inference endpoints, FastAPI и ML deployment.
Detects and prevents data leakage in machine learning and mathematical modeling. Auto-activates after ML tasks involving...
Prepares ML models for production deployment with containerization, API creation, monitoring setup, and A/B testing. Act...
Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature en...
- Working on ml engineer tasks or workflows
Production machine learning systems and model serving infrastructure. Use when building ML pipelines, deploying models t...
Expert in building scalable ML systems, from data pipelines and model training to production deployment and monitoring.
Track ML experiments with proper logging and reproducibility. Use when training models or running experiments.
Use when designing ML experiments, choosing evaluation metrics, tracking experiments, tuning hyperparameters, debugging...
Guides ML experiment logging, versioning, and reproducibility using tools like MLflow, Weights & Biases, and DVC for sys...
Plan reproducible ML experiment runs with explicit parameters, metrics, and artifacts. Use before model training to stan...
Expert-level machine learning, deep learning, model training, and MLOps
Implement machine learning solutions including model architectures, training pipelines, optimization strategies, and per...
Memory systems specialist for hierarchical memory, consolidation, and outcome-based learningUse when "memory system, mem...
LLM and ML model serving with vLLM, TGI, Triton, and TorchServe. Covers quantization formats (GPTQ/AWQ/GGUF), batching s...
Serve models with A/B testing, monitoring, retraining.
Compare model candidates using weighted metrics and deterministic ranking outputs. Use for benchmark leaderboards and mo...
Explain ML model predictions using SHAP values, feature importance, and decision paths with visualizations.
Automated pipeline for retraining ML models with new construction data. Monitor model drift, trigger retraining, and val...
Build and train machine learning models using scikit-learn, PyTorch, and TensorFlow for classification, regression, and...